Spaces:
Runtime error
Runtime error
| import argparse | |
| import multiprocessing as mp | |
| import os | |
| import time | |
| import cv2 | |
| import tqdm | |
| import sys | |
| from detectron2.config import get_cfg | |
| from detectron2.data.detection_utils import read_image | |
| from detectron2.utils.logger import setup_logger | |
| sys.path.insert(0, 'third_party/CenterNet2/projects/CenterNet2/') | |
| from centernet.config import add_centernet_config | |
| from grit.config import add_grit_config | |
| from grit.predictor import VisualizationDemo | |
| # constants | |
| WINDOW_NAME = "GRiT" | |
| def setup_cfg(args): | |
| cfg = get_cfg() | |
| if args.cpu: | |
| cfg.MODEL.DEVICE="cpu" | |
| add_centernet_config(cfg) | |
| add_grit_config(cfg) | |
| cfg.merge_from_file(args.config_file) | |
| cfg.merge_from_list(args.opts) | |
| # Set score_threshold for builtin models | |
| cfg.MODEL.ROI_HEADS.SCORE_THRESH_TEST = args.confidence_threshold | |
| cfg.MODEL.PANOPTIC_FPN.COMBINE.INSTANCES_CONFIDENCE_THRESH = args.confidence_threshold | |
| if args.test_task: | |
| cfg.MODEL.TEST_TASK = args.test_task | |
| cfg.MODEL.BEAM_SIZE = 1 | |
| cfg.MODEL.ROI_HEADS.SOFT_NMS_ENABLED = False | |
| cfg.USE_ACT_CHECKPOINT = False | |
| cfg.freeze() | |
| return cfg | |
| def get_parser(): | |
| parser = argparse.ArgumentParser(description="Detectron2 demo for builtin configs") | |
| parser.add_argument( | |
| "--config-file", | |
| default="", | |
| metavar="FILE", | |
| help="path to config file", | |
| ) | |
| parser.add_argument("--cpu", action='store_true', help="Use CPU only.") | |
| parser.add_argument( | |
| "--input", | |
| nargs="+", | |
| help="A list of space separated input images; " | |
| "or a single glob pattern such as 'directory/*.jpg'", | |
| ) | |
| parser.add_argument( | |
| "--output", | |
| help="A file or directory to save output visualizations. " | |
| "If not given, will show output in an OpenCV window.", | |
| ) | |
| parser.add_argument( | |
| "--confidence-threshold", | |
| type=float, | |
| default=0.5, | |
| help="Minimum score for instance predictions to be shown", | |
| ) | |
| parser.add_argument( | |
| "--test-task", | |
| type=str, | |
| default='', | |
| help="Choose a task to have GRiT perform", | |
| ) | |
| parser.add_argument( | |
| "--opts", | |
| help="Modify config options using the command-line 'KEY VALUE' pairs", | |
| default=[], | |
| nargs=argparse.REMAINDER, | |
| ) | |
| return parser | |
| if __name__ == "__main__": | |
| mp.set_start_method("spawn", force=True) | |
| args = get_parser().parse_args() | |
| setup_logger(name="fvcore") | |
| logger = setup_logger() | |
| logger.info("Arguments: " + str(args)) | |
| cfg = setup_cfg(args) | |
| demo = VisualizationDemo(cfg) | |
| if args.input: | |
| for path in tqdm.tqdm(os.listdir(args.input[0]), disable=not args.output): | |
| img = read_image(os.path.join(args.input[0], path), format="BGR") | |
| start_time = time.time() | |
| predictions, visualized_output = demo.run_on_image(img) | |
| logger.info( | |
| "{}: {} in {:.2f}s".format( | |
| path, | |
| "detected {} instances".format(len(predictions["instances"])) | |
| if "instances" in predictions | |
| else "finished", | |
| time.time() - start_time, | |
| ) | |
| ) | |
| if args.output: | |
| if not os.path.exists(args.output): | |
| os.mkdir(args.output) | |
| if os.path.isdir(args.output): | |
| assert os.path.isdir(args.output), args.output | |
| out_filename = os.path.join(args.output, os.path.basename(path)) | |
| else: | |
| assert len(args.input) == 1, "Please specify a directory with args.output" | |
| out_filename = args.output | |
| visualized_output.save(out_filename) | |
| else: | |
| cv2.namedWindow(WINDOW_NAME, cv2.WINDOW_NORMAL) | |
| cv2.imshow(WINDOW_NAME, visualized_output.get_image()[:, :, ::-1]) | |
| if cv2.waitKey(0) == 27: | |
| break # esc to quit |